Operations | Monitoring | ITSM | DevOps | Cloud

When it comes to managing development projects, many teams use both Azure DevOps and Jira to collaborate across departments. While Jira is often favored by project management teams for issue tracking, Azure DevOps excels with developers for managing code repositories, pipelines, and deployments. Combining these two tools can bring clarity, reduce duplication, and foster better collaboration between both development and non-development teams.

Teams need robust scheduling tools that enable them to create and manage on-call rotations, ensuring that there's always someone available to respond to urgent issues. Round-robin scheduling is a common approach, where team members take turns being on call. ‍

Mattermost is excited to announce the release of v10.0, bringing with it a groundbreaking enhancement to our Mattermost Copilot plugin: support for multiple large language models (multi-LLM). This feature, designed to empower mission-critical enterprises, adds a new layer of flexibility, privacy, and control to your AI-driven workflows.

In Mattermost v10.0, accelerate your enterprise workflows and bolster resilience with a collaboration hub that integrates people, processes, and technology for mission-critical work.

In today’s dynamic work environment, fostering a company culture of teamwork is essential for success. Collaboration and transparency are the cornerstones of effective teamwork, enabling companies to leverage diverse skills, streamline processes, and achieve common goals. A strong culture of teamwork not only enhances productivity but also boosts employee morale and engagement, creating a positive and inclusive workplace.

At Mattermost, we’re on a quest to scale our application by one order of magnitude, from tens of thousands to hundreds of thousands of concurrently active users per installation. Scaling up is a complex effort involving expertise at several different levels. At its core, it’s a game of catching the next bottleneck — whether it’s application CPU usage, memory consumption, database throughput, networking, or any combination of the above (among other causes as well).